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Kourosh Neshatian
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- affiliation: University of Canterbury, Christchurch, New Zealand
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2020 – today
- 2023
- [c44]Gareth Harcombe, Richard Green, Kourosh Neshatian:
Identifying Athletics Tracks using Keypoint Detection. IVCNZ 2023: 1-7 - 2022
- [j8]Negar Mohammadhassan, Antonija Mitrovic
, Kourosh Neshatian
Investigating the effect of nudges for improving comment quality in active video watching. Comput. Educ. 176: 104340 (2022) - 2020
- [c43]Adam Tupper
Evolving neural network agents to play atari games with compact state representations. GECCO Companion 2020: 99-100 - [c42]Adam Tupper
Evaluating Learned State Representations for Atari. IVCNZ 2020: 1-6
2010 – 2019
- 2019
- [j7]Geela Venise Firmalo Fabic, Antonija Mitrovic
Evaluation of Parsons Problems with Menu-Based Self-Explanation Prompts in a Mobile Python Tutor. Int. J. Artif. Intell. Educ. 29(4): 507-535 (2019) - [c41]Kourosh Neshatian, Lucianne Varn:
Feature Bundles and their Effect on the Performance of Tree-based Evolutionary Classification and Feature Selection Algorithms. CEC 2019: 1612-1619 - [c40]Shinichi Yamada, Kourosh Neshatian:
Comparison of Embedded and Wrapper Approaches for Feature Selection in Support Vector Machines. PRICAI (2) 2019: 149-161 - 2018
- [j6]Geela Venise Firmalo Fabic
Investigating the effects of learning activities in a mobile Python tutor for targeting multiple coding skills. Res. Pract. Technol. Enhanc. Learn. 13(1): 23 (2018) - [c39]Shinichi Yamada, Kourosh Neshatian:
Improving Representation in Benchmarking of Binary PSO Algorithms. Australasian Conference on Artificial Intelligence 2018: 371-383 - [c38]Tieta Putri, Ramakrishnan Mukundan, Kourosh Neshatian:
Circular Filtering and Neutrosophic Extraction of Vincent Van Gogh's Visible Brushstrokes. IVCNZ 2018: 1-6 - [c37]Geela Venise Firmalo Fabic, Antonija Mitrovic, Kourosh Neshatian:
Adaptive Problem Selection in a Mobile Python Tutor. UMAP (Adjunct Publication) 2018: 269-274 - 2017
- [c36]Geela Venise Firmalo Fabic, Antonija Mitrovic, Kourosh Neshatian:
Investigating the Effectiveness of Menu-Based Self-explanation Prompts in a Mobile Python Tutor. AIED 2017: 498-501 - [c35]Geela Venise Firmalo Fabic, Antonija Mitrovic, Kourosh Neshatian:
Learning with Engaging Activities via a Mobile Python Tutor. AIED 2017: 613-616 - [c34]Shinichi Yamada, Kourosh Neshatian:
Multiple Kernel Learning with One-Level Optimization of Radius and Margin. Australasian Conference on Artificial Intelligence 2017: 52-63 - [c33]Tieta Putri, Ramakrishnan Mukundan
Artistic Style Characterization of Vincent Van Gogh s Paintings using Extracted Features from Visible Brush Strokes. ICPRAM 2017: 378-385 - [c32]Tieta Putri, Ramakrishnan Mukundan, Kourosh Neshatian:
Artistic style characterization and brush stroke modelling for non-photorealistic rendering. IVCNZ 2017: 1-7 - [c31]Aaron Stockdill
Simulating neuromorphic reservoir computing: Abstract feed-forward hardware models. IVCNZ 2017: 1-7 - [c30]Shinichi Yamada, Kourosh Neshatian:
Kernel Construction and Feature Subset Selection in Support Vector Machines. SEAL 2017: 605-616 - [c29]Kourosh Neshatian, Lucianne Varn:
On the existence of feature bundles and their effect on symbolic regression algorithms. SSCI 2017: 1-8 - [c28]Shinichi Yamada, Kourosh Neshatian:
Hyper-parameter search in support vector machines using PSO with cellular fitness approximation. SSCI 2017: 1-8 - 2016
- [c27]Aaron Stockdill
Restricted Echo State Networks. Australasian Conference on Artificial Intelligence 2016: 555-560 - 2015
- [j5]Amir Shareghi Najar, Antonija Mitrovic, Kourosh Neshatian:
Eye Tracking and Studying Examples: How Novices and Advanced Learners Study SQL Examples. J. Comput. Inf. Technol. 23(2): 171-190 (2015) - [j4]Myse Elmadani, Antonija Mitrovic, Amali Weerasinghe, Kourosh Neshatian:
Investigating student interactions with tutorial dialogues in EER-Tutor. Res. Pract. Technol. Enhanc. Learn. 10(1): 16 (2015) - [c26]Thomas J. Young, Kourosh Neshatian:
The Effect of Reactant and Product Selection Strategies on Cycle Evolution in an Artificial Chemistry. ACALCI 2015: 310-322 - [c25]Amir Shareghi Najar, Antonija Mitrovic, Kourosh Neshatian:
Using Eye Tracking to Identify Learner Differences in Example Processing. AIED 2015: 734-737 - [c24]Shinichi Yamada, Kourosh Neshatian, Raazesh Sainudiin:
Optimal Hyper-Parameter Search in Support Vector Machines Using Bézier Surfaces. Australasian Conference on Artificial Intelligence 2015: 623-629 - 2014
- [c23]Mohammed Algarni, Brent Martin, Tim Bell, Kourosh Neshatian:
Simple Arabic Stemmer. CIKM 2014: 1803-1806 - [c22]Amir Shareghi Najar, Antonija Mitrovic, Kourosh Neshatian:
Utilizing Eye Tracking to Improve Learning from Examples. HCI (5) 2014: 410-418 - [c21]Cain Cresswell-Miley, Kourosh Neshatian:
A Stepwise Multi-centroid Classification Learning Algorithm with GPU Implementation. SEAL 2014: 347-358 - 2013
- [c20]Thomas J. Young, Kourosh Neshatian:
A Constructive Artificial Chemistry to Explore Open-Ended Evolution. Australasian Conference on Artificial Intelligence 2013: 228-233 - [c19]Kourosh Neshatian, Lucianne Varn:
On the Optimality of Subsets of Features Selected by Heuristic and Hyper-heuristic Approaches. PAKDD Workshops 2013: 440-451 - [c18]Jill de Jong, Kourosh Neshatian:
Binary Classification Using Genetic Programming: Evolving Discriminant Functions with Dynamic Thresholds. PAKDD Workshops 2013: 464-474 - 2012
- [j3]Harith Al-Sahaf
Two-Tier genetic programming: towards raw pixel-based image classification. Expert Syst. Appl. 39(16): 12291-12301 (2012) - [j2]Kourosh Neshatian, Mengjie Zhang, Peter Andreae:
A Filter Approach to Multiple Feature Construction for Symbolic Learning Classifiers Using Genetic Programming. IEEE Trans. Evol. Comput. 16(5): 645-661 (2012) - [c17]Fahmi Abdulhamid, Andy Song
Evolving Genetic Programming classifiers with loop structures. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c16]Harith Al-Sahaf
Extracting image features for classification by two-tier genetic programming. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c15]Rachel Hunt, Kourosh Neshatian, Mengjie Zhang:
Scalability analysis of genetic programming classifiers. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c14]Kourosh Neshatian, Mengjie Zhang:
Improving Relevance Measures Using Genetic Programming. EuroGP 2012: 97-108 - [c13]Rachel Hunt, Kourosh Neshatian, Mengjie Zhang:
A Genetic Programming Approach to Hyper-Heuristic Feature Selection. SEAL 2012: 320-330 - 2011
- [j1]Kourosh Neshatian, Mengjie Zhang:
Using genetic programming for context-sensitive feature scoring in classification problems. Connect. Sci. 23(3): 183-207 (2011) - [c12]Daniel L. Atkins
A domain independent Genetic Programming approach to automatic feature extraction for image classification. IEEE Congress on Evolutionary Computation 2011: 238-245 - [c11]Anna Friedlander
Meta-learning and feature ranking using genetic programming for classification: Variable terminal weighting. IEEE Congress on Evolutionary Computation 2011: 941-948 - [c10]Harith Al-Sahaf
Automatic feature extraction and image classification using genetic programming. ICARA 2011: 157-162 - [c9]Fahmi Abdulhamid, Kourosh Neshatian, Mengjie Zhang:
Genetic programming for evolving programs with loop structures for classification tasks. ICARA 2011: 202-207 - 2010
- [b1]Kourosh Neshatian:
Feature Manipulation with Genetic Programming. Victoria University of Wellington, New Zealand, 2010
2000 – 2009
- 2009
- [c8]Kourosh Neshatian, Mengjie Zhang:
Unsupervised Elimination of Redundant Features Using Genetic Programming. Australasian Conference on Artificial Intelligence 2009: 432-442 - [c7]Kourosh Neshatian, Mengjie Zhang:
Genetic Programming for Feature Subset Ranking in Binary Classification Problems. EuroGP 2009: 121-132 - [c6]Kourosh Neshatian, Mengjie Zhang:
Pareto front feature selection: using genetic programming to explore feature space. GECCO 2009: 1027-1034 - 2008
- [c5]Kourosh Neshatian, Mengjie Zhang:
Genetic programming for performance improvement and dimensionality reduction of classification problems. IEEE Congress on Evolutionary Computation 2008: 2811-2818 - [c4]Kourosh Neshatian, Mengjie Zhang:
Genetic Programming and Class-Wise Orthogonal Transformation for Dimension Reduction in Classification Problems. EuroGP 2008: 242-253 - [c3]Kourosh Neshatian, Mengjie Zhang, Peter Andreae:
Genetic Programming for Feature Ranking in Classification Problems. SEAL 2008: 544-554 - 2007
- [c2]Kourosh Neshatian, Mengjie Zhang, Mark Johnston:
Feature Construction and Dimension Reduction Using Genetic Programming. Australian Conference on Artificial Intelligence 2007: 160-170 - [c1]Maryam Tayefeh Mahmoudi, Kambiz Badie, Kourosh Neshatian:
An Ontological Model for Knowledge Management through Concept Composition. ICDS 2007: 9
Coauthor Index
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